The usage and importance of Python have been growing year after year, especially with the data analytics and data science community. In this article, Disha Gupta offers a quick demo of how to implement Python libraries.
Java and C are the most popular programming languages, however, Python continues to see amazing growth in 2019. The TIOBE Index claimed that Python might overtake Java and C as the most popular language in a few years. Is this accurate? Let’s take a look at this month’s index and see what the projections are.
Python continues to be the language of choice for all things scientific. Panel is a new open source high-level library for creating ways of showing off scientific data. It supports popular Python plotting libraries such as Bokeh, Matplotlib, and Datashader for data visualization. Create reactive objects with Panel and compose plots, tables, and more.
The first beta release for Python version 3.8 is here. Check out the new features, report any potential bugs, give feedback, and catch a sneak peek on the newest release highlights in order to prepare yourself for what’s coming in Python 3.8. (Have you met the walrus operator?)
Are you looking for an answer to the long-standing debate Java vs. Python? Are you starting a new project and can’t decide which language will suit you best? Fear not! Rilind Elezaj has some handy advice.
Support for Python 2 will be cut off in 2020 and some may have already been feeling the pain! What are the next steps? How can you start preparing for migration to Python 3? In this article, Bart Copeland has some handy advice.
Dynaconf is a dynamic configuration for Python applications. With it, you can set one canonical settings module to use for all instances. Users can also change their dynamic parameters without having to deploy their application. This settings config tool for Python offers extensions for both Flask and Django.
What are developers and data scientists using Python for? The language continues to grow in the field of machine learning, web development, and neural networks. ActiveState recently examined the data from their customers and listed the top use cases by industry and what ML tools professionals are using.
Stack Overflow’s annual developer survey is back with results for 2019. Find out what technology is most loved, most dreaded, and most wanted. This year there are more insights about the global developer profile, demographics, and what challenges get in the way of workflow. With nearly 90,000 responses from around the globe, this is the world’s largest developer survey.
Django is a Python web framework for rapid development and this week it reached its 2.2 version. Most important highlight of this release is that 2.2 is a long-term support (LTS) version. Let’s take a closer look.
PyPy’s new update adds a few new tweaks and two new interpreters. While CPython is the standard implementation of Python, PyPy is a great alternative that can make your Python code run even faster and lighter. See what’s new and what advantages it has.
Which programming language is the most secure? High security vulnerabilities for Java have declined since 2015
Time to put languages to the test. Which programming languages are the most secure and which have dents in their armor? A report from WhiteSource examined security vulnerabilities in some of the most popular programming languages and looked at the trends of high security vulnerabilities over the years.
Have you ever heard of web scraping? It is is an automated technique that is used to extract large amounts of data from websites. If you are interested in getting started with web scraping, then this tutorial is for you!